Quality of student involvement and college contribution toward development of traditional and nontraditional undergraduate students

Nontraditional students differ from traditional students on characteristics such as age, employment status, marital status, and parental status. The quality of a student's experience is important as it relates to his or her transformation and is a reflection of the quality of the college. Using theory of involvement as a framework, the purpose of this study was to test if there were differences between traditional and nontraditional undergraduate students in their ratings of quality of college involvement (academic, co-curricular, student interactions, and faculty interactions) and perceptions of college contribution toward development (intellectual, personal, social, and career). A two part survey was distributed to a random cluster sample of sophomore and higher level undergraduate classes equaling 400 undergraduate students. Results of a 2 X 4 repeated measures ANOVA indicated that traditional students rated quality for co-curricular involvement and student involvement significantly higher than nontraditional students. Both traditional and nontraditional students had similar ratings of college contribution toward development. There were different patterns of correlations between involvement and development. Traditional students' ratings of academic and student involvement were more highly correlated with development than were the ratings of nontraditional students. However, nontraditional students' ratings of academic and faculty involvement were more highly correlated with development. When testing for differences in correlations between quality of involvement and college contribution toward development, the largest observed differences were quality of student involvement and college contribution toward personal and social development. Although not significantly different, traditional students had stronger correlations between those factors than did the nontraditional students. This research demonstrates the importance of using social role when defining student type. It contributes to involvement theory by explaining how traditional and nontraditional students differ in their ratings of quality of involvement. Further, it identifies different patterns of correlations between ratings of quality of involvement and college contribution toward development for the two types of students. While traditional students may need a more rounded college experience that includes more social and co-curricular experiences, nontraditional students use the classroom as their stage for learning.

Utilizing Traditional Cognitive Measures of Academic Preparation to Predict First-Year Science, Technology, Engineering, and Mathematics (STEM) Majors' Success in Math and Science Courses

For the past several years, U.S. colleges and universities have faced increased pressure to improve retention and graduation rates. At the same time, educational institutions have placed a greater emphasis on the importance of enrolling more students in STEM (science, technology, engineering and mathematics) programs and producing more STEM graduates. The resulting problem faced by educators involves finding new ways to support the success of STEM majors, regardless of their pre-college academic preparation. The purpose of my research study involved utilizing first-year STEM majors’ math SAT scores, unweighted high school GPA, math placement test scores, and the highest level of math taken in high school to develop models for predicting those who were likely to pass their first math and science courses. In doing so, the study aimed to provide a strategy to address the challenge of improving the passing rates of those first-year students attempting STEM-related courses. The study sample included 1018 first-year STEM majors who had entered the same large, public, urban, Hispanic-serving, research university in the Southeastern U.S. between 2010 and 2012. The research design involved the use of hierarchical logistic regression to determine the significance of utilizing the four independent variables to develop models for predicting success in math and science. The resulting data indicated that the overall model of predictors (which included all four predictor variables) was statistically significant for predicting those students who passed their first math course and for predicting those students who passed their first science course. Individually, all four predictor variables were found to be statistically significant for predicting those who had passed math, with the unweighted high school GPA and the highest math taken in high school accounting for the largest amount of unique variance. Those two variables also improved the regression model’s percentage of correctly predicting that dependent variable. The only variable that was found to be statistically significant for predicting those who had passed science was the students’ unweighted high school GPA. Overall, the results of my study have been offered as my contribution to the literature on predicting first-year student success, especially within the STEM disciplines.